├── NFLPlaybyPlay.csv ├── README.md ├── airlines.csv ├── banking_attrition.csv ├── clean-chat-audio-long.m4a ├── gym_attendance.csv ├── images ├── Screenshot 2023-04-28 at 3.10.50 PM.png ├── Screenshot 2023-04-28 at 3.13.23 PM.png ├── xray1.jpg ├── xray2.jpeg ├── xray3.jpg ├── xray4.jpg └── xray5.jpeg ├── loan_200k.csv ├── payments.xml ├── payments_adv.xml ├── spanish-example.mp3 ├── telco_churn.csv ├── test_audio.mp3 ├── test_audio.wav ├── wine_reviews.csv └── wine_reviews_master.csv /README.md: -------------------------------------------------------------------------------- 1 |

Interesting Publically Available Datasets

2 |
Credit Card Fraud Detection 3 |
SMS Spam Dataset 4 |
Lending Club Loan Data 5 |
Daily News for Stock Market Prediction 6 |
San Francisco Bike Share 7 |
Speed Dating 8 |
Human Activity Recognition using Smartphones 9 |
380k Song Lyrics 10 |
Uber Pickups in NYC 11 |
Kickstarter Project Stats 12 |
Detailed NFL Play-by-Play 13 |
Heartbeat Sounds - Classifying Anomalies 14 |
140+ Conversations 15 |
Stanford Question Answering Dataset 16 |
Recipes by Rating and Nutrition 17 |
Enron Email Dataset 18 |
Hillary Clinton Emails 19 |
2016 Coder Survey 20 |
Airline Delays 21 |
Aerial Bombings in WWII 22 |
2014 US Income Tax Data 23 |
Home Price Index 24 |
TechCrunch Posts 25 |
World News on Reddit - 2008 - 2016 26 |
Stack Overflow Q&A 27 |
IMDB Movie Dataset 28 |
Movie Review Dataset 29 |
Product Review & Opinion Data 30 |
Restaurant Reviews 31 |
Amazon Product Reviews 32 |
Tourism Dataset (Hotels, Hospitality, Themepark, etc. 33 |
Kaggle - Expedia Hotel Recommendations 34 |
Hotel Review Datasets 35 |
Airline Quality Reviews 36 |
Project Data Sphere - Cancer Analysis 37 |
38 |
39 |

Links to more Dataset Repos:

40 |
Stanford SNAP Datasets 41 |
R Datasets 42 |
UCI Machine Learning Repo 43 |
Datasets for AI 44 |
Text Analytics Datasets 45 |
Data and code behind the stories and interactives at FiveThirtyEight 46 |
DeepLearning4J Datasets 47 |
20 Weird & Wonderful Datasets for Machine Learning 48 |
Security (Cybersecurity) Datasets 49 |
Quantopian Stock Market Modeling 50 |
51 |
52 |

APIs:

53 |
List of Public APIs 54 |
News API 55 |
Open APIs From Space 56 |
San Francisco Bart Real-time API Feed 57 |
Metro Bus and Rail Real-time API Feed 58 |
Indian Railway Real-time API 59 |
YELP API 60 |
Medium's API 61 |
62 |
63 |

Data Generators:

64 |
Mockaroo 65 |
GenerateData.com 66 |
Dataset Generator - Random User Data 67 |
Dataset Generator 68 |
69 | 70 | 71 | 72 | 73 | -------------------------------------------------------------------------------- /airlines.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/airlines.csv -------------------------------------------------------------------------------- /clean-chat-audio-long.m4a: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/clean-chat-audio-long.m4a -------------------------------------------------------------------------------- /images/Screenshot 2023-04-28 at 3.10.50 PM.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/images/Screenshot 2023-04-28 at 3.10.50 PM.png 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-------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 501021334 5 | 60 6 | Melissa McCarthy 7 | 24k6xx 8 | 30365112712923 9 | 2014-09-30 10 | 1971-08-05 11 | 412144723681 12 | 13 | 14 | 458629348 15 | 64 16 | Maggie Grace 17 | 602jiy 18 | 38127959539229 19 | 2015-04-30 20 | 1987-03-20 21 | 786316421483 22 | 23 | 24 | 543629182 25 | 21 26 | Eden Sher 27 | 8r4gp7 28 | 36359181504166 29 | 2013-12-19 30 | 1998-05-05 31 | 747654761281 32 | 33 | 34 | 504546619 35 | 1 36 | Colin O'Donoghue 37 | 6y98rb 38 | 374168447352140 39 | 2016-01-06 40 | 1964-06-22 41 | 149025912280 42 | 43 | 44 | 201051665 45 | 78 46 | Billie Piper 47 | 3b62ci 48 | 4539295439193796 49 | 2013-07-31 50 | 1969-10-17 51 | 560218050189 52 | 53 | 54 | 504329407 55 | 28 56 | Debra Winger 57 | 3s92dm 58 | 201461319075546 59 | 2013-11-17 60 | 1975-11-19 61 | 758011589382 62 | 63 | 64 | 585272729 65 | 39 66 | Eva Green 67 | s45e9s 68 | 5566137276572471 69 | 2014-11-27 70 | 1986-08-25 71 | 410025881288 72 | 73 | 74 | 234269620 75 | 35 76 | Josh Hartnett 77 | 49o0cx 78 | 370465340177952 79 | 2014-04-08 80 | 1996-09-17 81 | 227183527983 82 | 83 | 84 | 004906411 85 | 0 86 | Alexandra Daddario 87 | 9jl31e 88 | 4716080759788101 89 | 2016-06-19 90 | 1969-11-26 91 | 469606210483 92 | 93 | 94 | 215698323 95 | 25 96 | Helena Bonham Carter 97 | 2blh98 98 | 346736156246557 99 | 2013-08-27 100 | 1966-06-12 101 | 468859590783 102 | 103 | 104 | 530430500 105 | 3 106 | Jamie Foxx 107 | 205jdy 108 | 376993288485693 109 | 2015-10-25 110 | 1968-07-26 111 | 234222788983 112 | 113 | 114 | 648245853 115 | 15 116 | Ian McKellen 117 | 53jls6 118 | 36331855155864 119 | 2015-08-07 120 | 1957-10-04 121 | 408824268180 122 | 123 | 124 | 447040951 125 | 98 126 | Iwan Rheon 127 | t5r45m 128 | 36377749862264 129 | 2013-04-27 130 | 1954-07-27 131 | 837088985082 132 | 133 | 134 | 680607470 135 | 75 136 | Alexis Knapp 137 | e8t7e4 138 | 869991729406488 139 | 2016-05-05 140 | 1988-12-15 141 | 674468846482 142 | 143 | 144 | 002384765 145 | 17 146 | Joaquin Phoenix 147 | 231xod 148 | 4716768579330183 149 | 2016-06-19 150 | 1984-08-03 151 | 515974503586 152 | 153 | 154 | 524138506 155 | 36 156 | Kellan Lutz 157 | h664sn 158 | 30231358818362 159 | 2014-08-17 160 | 1970-11-29 161 | 703976835584 162 | 163 | 164 | 622511516 165 | 81 166 | Domhnall Gleeson 167 | 5n50pc 168 | 3539515826643695 169 | 2015-04-02 170 | 1993-01-18 171 | 761789159781 172 | 173 | 174 | 504195442 175 | 55 176 | Johnny Depp 177 | v99l1t 178 | 869904287503653 179 | 2014-06-03 180 | 1977-11-03 181 | 780814403886 182 | 183 | 184 | 530876215 185 | 84 186 | Sarah Hyland 187 | 039yyf 188 | 6011858442124009 189 | 2014-01-04 190 | 1954-01-21 191 | 971278158581 192 | 193 | 194 | 518661871 195 | 93 196 | Margot Robbie 197 | 377ruo 198 | 4024007119997657 199 | 2014-12-26 200 | 1999-01-15 201 | 837769293384 202 | 203 | 204 | 660098734 205 | 70 206 | Elizabeth Henstridge 207 | 5h0op9 208 | 869918317937475 209 | 2015-12-21 210 | 1954-07-09 211 | 631477768983 212 | 213 | 214 | 398880783 215 | 64 216 | Rami Malek 217 | 2k93tc 218 | 5169044793370549 219 | 2016-05-14 220 | 1957-12-26 221 | 367744920389 222 | 223 | 224 | 307057444 225 | 25 226 | Jamie Dornan 227 | 177zkl 228 | 201404333910207 229 | 2014-07-11 230 | 1992-02-04 231 | 786567662084 232 | 233 | 234 | 008887129 235 | 35 236 | Tilda Swinton 237 | p34oc5 238 | 376920946575664 239 | 2014-05-01 240 | 1962-10-20 241 | 986885695782 242 | 243 | 244 | 009387305 245 | 4 246 | Alexander Ludwig 247 | j276xb 248 | 201478302572008 249 | 2013-04-20 250 | 1966-11-30 251 | 265161626084 252 | 253 | 254 | 661077098 255 | 49 256 | Angela Kerecz 257 | 848fuc 258 | 5485704260295464 259 | 2013-09-02 260 | 1958-08-22 261 | 151335933982 262 | 263 | 264 | 423685067 265 | 29 266 | Miranda Cosgrove 267 | 682old 268 | 3548678480728092 269 | 2013-08-08 270 | 1961-01-14 271 | 204534831381 272 | 273 | 274 | 517723048 275 | 6 276 | James Marsden 277 | 027gsc 278 | 4183236649167880 279 | 2016-10-12 280 | 1992-08-13 281 | 235935585284 282 | 283 | 284 | 537746804 285 | 92 286 | Marion Cotillard 287 | 080hcy 288 | 214965807970534 289 | 2016-02-21 290 | 1988-02-05 291 | 475514223085 292 | 293 | 294 | 508155559 295 | 1 296 | Julie Bowen 297 | 5o55ue 298 | 6011979290744647 299 | 2015-10-15 300 | 1985-12-20 301 | 624859754883 302 | 303 | 304 | 038685463 305 | 38 306 | Cam Gigandet 307 | 29m6lm 308 | 4716257331904592 309 | 2016-09-05 310 | 1960-05-03 311 | 386107512384 312 | 313 | 314 | 750076528 315 | 20 316 | Rooney Mara 317 | 433tbk 318 | 3547763442055957 319 | 2015-12-24 320 | 1962-11-19 321 | 457400620980 322 | 323 | 324 | 662148623 325 | 66 326 | Kit Harington 327 | p31m1a 328 | 4111759266591477 329 | 2016-04-04 330 | 1959-04-21 331 | 742692404988 332 | 333 | 334 | 397169771 335 | 21 336 | Shia LaBeouf 337 | 78w4gq 338 | 5162091148919840 339 | 2013-09-04 340 | 1955-03-11 341 | 847021255984 342 | 343 | 344 | 344649165 345 | 2 346 | Richard Armitage 347 | f38bv4 348 | 377829978684097 349 | 2015-02-20 350 | 1973-02-15 351 | 631528436385 352 | 353 | 354 | 244948060 355 | 52 356 | Stana Katic 357 | 915flh 358 | 4024007183097632 359 | 2017-02-20 360 | 1983-04-07 361 | 968628789888 362 | 363 | 364 | 307464046 365 | 52 366 | Yvonne Strahovski 367 | 0p5m7q 368 | 30355974712798 369 | 2013-05-24 370 | 1974-09-29 371 | 850492136389 372 | 373 | 374 | 574038049 375 | 79 376 | Frances Fisher 377 | j325qd 378 | 201419167511475 379 | 2016-07-03 380 | 1962-07-02 381 | 456959080189 382 | 383 | 384 | 399708868 385 | 72 386 | Carrie Fisher 387 | 7p86ix 388 | 3582971346256227 389 | 2015-07-21 390 | 1952-09-22 391 | 585336693780 392 | 393 | 394 | 523437046 395 | 61 396 | Chloe Bennet 397 | e990kq 398 | 201445898446152 399 | 2014-03-29 400 | 1981-11-25 401 | 937134249287 402 | 403 | 404 | 041168449 405 | 42 406 | Jamie Campbell Bower 407 | 7f3e2d 408 | 38115893149320 409 | 2014-03-01 410 | 1968-08-16 411 | 513280030385 412 | 413 | 414 | 751038048 415 | 61 416 | Uma Thurman 417 | 909rtx 418 | 344596880172954 419 | 2016-06-15 420 | 1953-09-12 421 | 917776600688 422 | 423 | 424 | 449826077 425 | 62 426 | Elizabeth Banks 427 | 4r86qw 428 | 4716919222860239 429 | 2016-04-15 430 | 1954-11-03 431 | 888401095588 432 | 433 | 434 | 523722016 435 | 24 436 | Diane Lane 437 | r58w6b 438 | 201431996993881 439 | 2016-08-26 440 | 1996-04-23 441 | 295264940089 442 | 443 | 444 | 250266647 445 | 53 446 | Kiefer Sutherland 447 | 14ov7d 448 | 6011718231287047 449 | 2013-08-21 450 | 1962-08-12 451 | 374781715989 452 | 453 | 454 | 657108804 455 | 72 456 | Jesse Eisenberg 457 | 9bo3w5 458 | 341182991153259 459 | 2016-10-06 460 | 1984-01-13 461 | 322629503481 462 | 463 | 464 | 429801389 465 | 79 466 | Bailee Madison 467 | 3w3o0r 468 | 36513622730034 469 | 2015-11-16 470 | 1994-12-09 471 | 269328324283 472 | 473 | 474 | 223390721 475 | 14 476 | Dwayne Johnson 477 | n38ck5 478 | 4929580115832967 479 | 2014-11-20 480 | 1987-06-23 481 | 819590945288 482 | 483 | 484 | 418164356 485 | 95 486 | Brie Larson 487 | 0t0h5t 488 | 5311487296857503 489 | 2016-04-26 490 | 1952-09-19 491 | 310664266880 492 | 493 | 494 | 442405136 495 | 82 496 | AnnaSophia Robb 497 | 7rz25q 498 | 4532862870189778 499 | 2014-07-05 500 | 1994-02-08 501 | 619113212580 502 | 503 | 504 | -------------------------------------------------------------------------------- /payments_adv.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | -------------------------------------------------------------------------------- /spanish-example.mp3: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zaratsian/Datasets/67bc88652292629fe4359bd3bfbe337a553bbf39/spanish-example.mp3 -------------------------------------------------------------------------------- /test_audio.mp3: 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